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Computer Vision Engineer Jobs in Tucson, AZ (NOW HIRING)

Actalent

Cad Designer

Tucson, AZ

$30 - $40/hr

In this role, you bridge engineering and production by creating detailed 3D models, generating ... vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth ...

New

RBC Bearings

CAD Designer II (CADDE006101)

Tucson, AZ · On-site

$25.75 - $35.25/hr

This role will collaborate with Project Engineers and Manufacturing Engineers to complete assigned ... Medical/Dental/Vision Plans * HSA/FSA * Life & Disability Insurance * Accident/Hospital/Critical ...

CONTROL VISION

IT system support Engineer

Tucson, AZ

Join the Control Vision team in a unique position that will combine a cybersecurity background with ... Develop and implement policies and procedures to protect computer networks and systems. * Work ...

Alta E&I

Survey CAD Technician

Tucson, AZ · On-site

Our team delivers a full spectrum of services - civil engineering, surveying, geotechnical and ... Comprehensive health, dental, and vision insurance. * 401(k) plan with company match.

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Computer Vision Engineer information

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$45.9K

$114.9K

$130K

How much do computer vision engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for computer vision engineer in Tucson, AZ is $114,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $124,300.00 per year, depending on experience, location, and employer.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Tucson, AZ? The most popular types of Computer Vision Engineer jobs in Tucson, AZ are:
What are popular job titles related to Computer Vision Engineer jobs in Tucson, AZ? For Computer Vision Engineer jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Tucson, AZ look for? The top searched job categories for Computer Vision Engineer jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Computer Vision Engineer jobs? Cities near Tucson, AZ with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Tucson, AZ as of May 2026, with employment types broken down into 2% Internship, 96% Full Time, and 2% Contract. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $114,890 per year, or $55.2 per hour.
Postdoctoral Research Associate, Electrical and Computer Engineering

Postdoctoral Research Associate, Electrical and Computer Engineering

University of Arizona

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 14 days ago

University Of Arizona rating

7.0

Company rating: 7.0 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

366th of 530 rated colleges and universities

Job description

Postdoctoral Research Associate, Electrical and Computer Engineering
Posting Number
req24051
Department
Electrical and Computer Engr
Department Website Link
https://ece.engineering.arizona.edu/
Location
Tucson Campus
Address
1230 E. Speedway Blvd., Tucson, AZ 85721 USA
Position Highlights
The Electrical and Computer Engineering (ECE) Department at the University of Arizona is seeking a qualified and highly motivated Postdoctoral Research Associate to work with Dr. Ehsan Azimi.
We invite qualified candidates to join our group and participate in cutting-edge research. The chosen candidate will advance research at the intersection of robotics, control & prototyping, and AI/ML. The Postdoc will design, implement, and evaluate robotic systems - including real-time control stacks - and develop learning-enabled perception, planning, and vision-language model (VLM) pipelines. The role includes disseminating results via publications, patents, demos, and grants, in addition to mentoring students and contributing to course modules/workshops in robotics and related topics.
Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.
Duties & Responsibilities
  • Lead, design, build and test cycles for robotic platforms and experimental rigs; develop real-time control (e.g., model-based, optimal, learning-augmented control), perception, and planning modules; run structured experiments and benchmarking.
  • Architect high-quality research codebases in C++/Python/C# (e.g., ROS/ROS 2, RT frameworks, Unity/Unreal integration as needed); implement data pipelines, simulation, and CI/testing; maintain reproductible artifacts and documentation.
  • Mentor undergraduate and graduate students; develop short course modules and/or run workshops in Robotics/AI/Control; support inclusive team culture and lab best practices.
  • Lead and co-author journal/conferencepapers; prepare manuscripts for publication in peer-reviewed journals; createcompelling presentations/demos and contribute to IP (invention disclosures andpatents); present research at national and international conferences.
  • Contribute to proposaldevelopment and grant writing (including preliminary data, methods, budgetstext); prepare progress reports, and coordination with internal/externalcollaborators; interface with sponsors where applicable.
  • Foster collaborationswithin the Department, with other units across the University, and with teammembers at other institutes.
  • Participate andcontribute to meetings with industry, academia and sponsors.
  • Additional duties as assigned.

Knowledge, Skills, and Abilities
  • Strong analysisskills, research, and technical writing skills.
  • Ability to communicateprofessionally in a clear, concise manner orally and in writing.
  • Knowledge of prototyping, specifically control (PID, MPC, optimal/robust, learning-augmented); perception &planning; sensor fusion; calibration; system identification.
  • Programming skills, including C++,Python, C#; ROS/ROS 2; Git; Linux; build systems (CMake);real-time/latency-aware coding; simulation (Gazebo/Isaac/Unity/Unreal asapplicable).
  • Knowledge of experimental design, statistics, ablation studies, replicable pipelines,technical writing.
  • Ability to create clear presentations and use strong interpersonal skills with a collaborativemindset; effective mentoring.

Minimum Qualifications
  • PhD in Robotics, Electrical & Computer Engineering, Mechanical Engineering, Biomedical Engineering, Computer Science, or closely related field.
  • Must have PhD conferred upon hire.

Preferred Qualifications
  • Hands-on experience integrating hardware + software for robots (arms, mobile, mechatronics) and real-time control.
  • Experience in computer vision, multimodal perception, or foundation models (VLMs/LLMs) applied to robotics.
  • Track record of patent contributions and/or technology transfer.
  • Experience preparing grants (NSF/NIH/DoD/industry) and coordinating collaborative deliverables.
  • Prior experience mentoring/teaching, curriculum or workshop development.
  • Experience with safety standards for robotics labs and human-robot interaction studies.
  • Experience with CUDA/accelerators; optimization; SLAM; tactile/force control; AR/XR interfaces; Unity/C# for robotics visualization; DevOps/containers.
  • Experience with AI/ML: Deep learning for vision/perception; VLMs and LLM tooling; dataset curation; evaluation/benchmarks; basic MLOps.

FLSA
Exempt
Full Time/Part Time
Full Time
Number of Hours Worked per Week
40
Job FTE
1.00
Work Calendar
Fiscal
Job Category
Research
Benefits Eligible
Yes - Full Benefits
Rate of Pay
NIH salary guidelines-Depends on Experience
Compensation Type
salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Number of Vacancies
1
Target Hire Date
Expected End Date
Contact Information for Candidates
Ehsan Azimi
eazimi@arizona.edu
Open Date
10/6/2025
Open Until Filled
Yes
Documents Needed to Apply
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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